15 papers · ranked by Valyu relevance
Tsvetomira Radeva, Anna Dornhaus, Nancy Lynch, Radhika Nagpal + 2 more
'Hsin-Hao Su' 'Natalia L. Komarova'] Adaptive collective systems are common in biology and beyond. Typically, such systems require a task allocation algorithm: a mechanism or rule-set by which individuals select particular roles. Here we study the performance of such task allocation mechanisms measured in terms of the…
Alina Tausch, Annette Kluge, Lars Adolph
Task allocation is immensely important when it comes to designing human-robot interaction (HRI), but although it is the shaping part of the interaction, it is merely regarded as a process with its own effects on human thinking and behavior. This study aims at linking research from different fields like psychological…
José Cano, David R. White, Alejandro Bordallo, Ciaran McCreesh + 3 more
'Anna Lito Michala' 'Jeremy Singer' 'Vijay Nagarajan'] We consider the problem of assigning software processes (or tasks) to hardware processors in distributed robotics environments. We introduce the notion of a task variant, which supports the adaptation of software to specific hardware configurations. Task variants…
Nayyer Fazal, Muhammad Tahir Khan, Shahzad Anwar, Javaid Iqbal + 2 more
'Shahbaz Khan' 'Mohd Nadhir Ab Wahab'] Task allocation is a fundamental requirement for multi-robot systems working in dynamic environments. An efficient task allocation algorithm allows the robots to adjust their behavior in response to environmental changes such as fault occurrences, or other robots’ actions to…
Xiaocan Wu, Yu-E Sun, He Huang, Yang Du + 1 more
Crowdsensing has emerged as an efficient and inexpensive way to perform specialized tasks by leveraging external crowds. In some crowdsensing systems, different tasks may have different requirements, and there may be precedence constraints among them, such as the Unmanned Aerial Vehicle (UAV) crowdsensing systems.…
Helen Harman, Elizabeth I. Sklar
Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks. The harvesting workforce is typically organised by farm manager(s) who assign workers to the fields that are ready to be…
Luis Ortiz, Ana Guasque, Patricia Balbastre, José Simó + 1 more
'Chan Hwang See'] Multicore systems introduced a performance increase over previous monocore systems. As these systems are increasingly finding application in critical domains, it arises a necessity to develop novel methodologies for their efficient resource allocation. In addition, it is particularly important to…
Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña + 3 more
'Diego López-de-Ipiña' 'Diego Casado-Mansilla' 'Felipe Vergara-Borge' 'Antonio J. Jara'] This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. Unlike typical models relying on financial…
Dominik Weikert, Christoph Steup, Sanaz Mostaghim, Raffaele Bruno
The Internet of Things (IoT) has been an area of growing research interest for decades. Task allocation is an important problem for the optimized operation of Internet-of-Things networks. This paper provides an overview of recent research in the field of Internet-of-Things task allocation optimization. First, the task…
WeiWei Du, XiaoWei Chen
As task diversity and inter-task relationship complexity grow, optimal formation power allocation is key to improving task execution efficiency. This paper proposes a task optimization allocation method with multiple groups collaboration, constructing a task network based on analysis of task static characteristics and…
Prasanta Kumar Bal, Sudhir Kumar Mohapatra, Tapan Kumar Das, Kathiravan Srinivasan + 3 more
'Kathiravan Srinivasan' 'Yuh-Chung Hu' 'Robert Hsu' 'Naveen Chilamkurti'] The rapid growth of cloud computing environment with many clients ranging from personal users to big corporate or business houses has become a challenge for cloud organizations to handle the massive volume of data and various resources in the…
Xiaoxue He, Yubo Wang, Xu Zhao, Tiancong Huang + 2 more
'Sergio Toral Marín'] Participatory crowdsensing (PCS) is an innovative data sensing paradigm that leverages the sensors carried in mobile devices to collect large-scale environmental information and personal behavioral data with the user’s participation. In PCS, task assignment and path planning pose complex…
D. Chitra Devi, V. Rhymend Uthariaraj
Cloud computing uses the concepts of scheduling and load balancing to migrate tasks to underutilized VMs for effectively sharing the resources. The scheduling of the nonpreemptive tasks in the cloud computing environment is an irrecoverable restraint and hence it has to be assigned to the most appropriate VMs at the…
Jiankang Ren, Jun Zhang, Xu Li, Wei Cao + 4 more
'Chengzhang Song' 'Chase Wu'] The adoption of multiprocessor platforms is growing commonplace in Internet of Things (IoT) applications to handle large volumes of sensor data while maintaining real-time performance at a reasonable cost and with low power consumption. Partitioned scheduling is a competitive approach to…
Devesh Kumar Srivastava, Pradeep Kumar Tiwari, Mayank Srivastava, Babu R. Dawadi
'Babu R. Dawadi'] One of the important and challenging tasks in cloud computing is to obtain the usefulness of cloud by implementing several specifications for our needs, to meet the present growing demands, and to minimize energy consumption as much as possible and ensure proper utilization of computing resources. An…